AI-based Computed Tomography Colonography (CTC)​ Approach

About CTC:

  • Colorectal Cancer begins as polyps on colon/rectum lining; can become cancerous and spread to other body parts.

  • CTC Screening Recommendation starts at age 45; ACS suggests regular screening until 85. Over 4000 veteran cases annually; 1.5 million colonoscopies needed. CTC not common in VA or rural settings.

  • Some current CRC Screening Methods include:

    • Stool tests: FOBT, FIT, mt-sDNA (Cologuard)

    • Optical colonoscopy (OC): Direct inspection with an endoscope

    • Computed tomography colonography (CTC): CT scan-based visualization

  • USPSTF Guidelines read that adults aged 50-75 should be screened; recently lowered to 45. CTC shows high accuracy, but OC is more invasive and costly.

  • Our hypothesis was that synchronizing CTC and OC could improve CRC combat, especially in rural/socioeconomically disadvantaged areas with CT access but limited CTC expertise. State-of-the-art CTC offers high sensitivity and specificity for polyps ≥ 0.5 mm, viable for local and cloud-based analysis.

  • Enabling large volume CTC screening​

  • Fusion of CTC and Optical Colonoscopy Findings​

  • Study of uncertainties in CTC prep (e.g., low dose, disconnected colons, prep deficits, etc.​

  • Coordinate CTC and Optical Colonoscopy, especially for remote and rural areas, where CT scans are available but skilled CTC readers are not, and gastroenterologists are overbooked. ​

  • Integrate tele-health procedures with CTC; enables CTC online and secure servers.​

Our methods

The typical colon segmentation

Taken from CT scan sections

Our new method

Which combines sections into a 3D representation of the colon with a walkaround feature

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CT-Based Lung Cancer Screening